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Functional imaging for assessing regional lung ventilation in preclinical and clinical research
Dynamic heterogeneity in lung ventilation is an important measure of pulmonary function and may be characteristic of early pulmonary disease. While standard indices like spirometry, body plethysmography, and blood gases have been utilized to assess lung function, they do not provide adequate informa...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228734/ https://www.ncbi.nlm.nih.gov/pubmed/37261124 http://dx.doi.org/10.3389/fmed.2023.1160292 |
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author | Karmali, Dipan Sowho, Mudiaga Bose, Sonali Pearce, Jackson Tejwani, Vickram Diamant, Zuzana Yarlagadda, Keerthi Ponce, Erick Eikelis, Nina Otvos, Tamas Khan, Akram Lester, Michael Fouras, Andreas Kirkness, Jason Siddharthan, Trishul |
author_facet | Karmali, Dipan Sowho, Mudiaga Bose, Sonali Pearce, Jackson Tejwani, Vickram Diamant, Zuzana Yarlagadda, Keerthi Ponce, Erick Eikelis, Nina Otvos, Tamas Khan, Akram Lester, Michael Fouras, Andreas Kirkness, Jason Siddharthan, Trishul |
author_sort | Karmali, Dipan |
collection | PubMed |
description | Dynamic heterogeneity in lung ventilation is an important measure of pulmonary function and may be characteristic of early pulmonary disease. While standard indices like spirometry, body plethysmography, and blood gases have been utilized to assess lung function, they do not provide adequate information on regional ventilatory distribution nor function assessments of ventilation during the respiratory cycle. Emerging technologies such as xenon CT, volumetric CT, functional MRI and X-ray velocimetry can assess regional ventilation using non-invasive radiographic methods that may complement current methods of assessing lung function. As a supplement to current modalities of pulmonary function assessment, functional lung imaging has the potential to identify respiratory disease phenotypes with distinct natural histories. Moreover, these novel technologies may offer an optimal strategy to evaluate the effectiveness of novel therapies and therapies targeting localized small airways disease in preclinical and clinical research. In this review, we aim to discuss the features of functional lung imaging, as well as its potential application and limitations to adoption in research. |
format | Online Article Text |
id | pubmed-10228734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102287342023-05-31 Functional imaging for assessing regional lung ventilation in preclinical and clinical research Karmali, Dipan Sowho, Mudiaga Bose, Sonali Pearce, Jackson Tejwani, Vickram Diamant, Zuzana Yarlagadda, Keerthi Ponce, Erick Eikelis, Nina Otvos, Tamas Khan, Akram Lester, Michael Fouras, Andreas Kirkness, Jason Siddharthan, Trishul Front Med (Lausanne) Medicine Dynamic heterogeneity in lung ventilation is an important measure of pulmonary function and may be characteristic of early pulmonary disease. While standard indices like spirometry, body plethysmography, and blood gases have been utilized to assess lung function, they do not provide adequate information on regional ventilatory distribution nor function assessments of ventilation during the respiratory cycle. Emerging technologies such as xenon CT, volumetric CT, functional MRI and X-ray velocimetry can assess regional ventilation using non-invasive radiographic methods that may complement current methods of assessing lung function. As a supplement to current modalities of pulmonary function assessment, functional lung imaging has the potential to identify respiratory disease phenotypes with distinct natural histories. Moreover, these novel technologies may offer an optimal strategy to evaluate the effectiveness of novel therapies and therapies targeting localized small airways disease in preclinical and clinical research. In this review, we aim to discuss the features of functional lung imaging, as well as its potential application and limitations to adoption in research. Frontiers Media S.A. 2023-05-16 /pmc/articles/PMC10228734/ /pubmed/37261124 http://dx.doi.org/10.3389/fmed.2023.1160292 Text en Copyright © 2023 Karmali, Sowho, Bose, Pearce, Tejwani, Diamant, Yarlagadda, Ponce, Eikelis, Otvos, Khan, Lester, Fouras, Kirkness and Siddharthan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Karmali, Dipan Sowho, Mudiaga Bose, Sonali Pearce, Jackson Tejwani, Vickram Diamant, Zuzana Yarlagadda, Keerthi Ponce, Erick Eikelis, Nina Otvos, Tamas Khan, Akram Lester, Michael Fouras, Andreas Kirkness, Jason Siddharthan, Trishul Functional imaging for assessing regional lung ventilation in preclinical and clinical research |
title | Functional imaging for assessing regional lung ventilation in preclinical and clinical research |
title_full | Functional imaging for assessing regional lung ventilation in preclinical and clinical research |
title_fullStr | Functional imaging for assessing regional lung ventilation in preclinical and clinical research |
title_full_unstemmed | Functional imaging for assessing regional lung ventilation in preclinical and clinical research |
title_short | Functional imaging for assessing regional lung ventilation in preclinical and clinical research |
title_sort | functional imaging for assessing regional lung ventilation in preclinical and clinical research |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228734/ https://www.ncbi.nlm.nih.gov/pubmed/37261124 http://dx.doi.org/10.3389/fmed.2023.1160292 |
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